The panel topic was to discuss the role of AI in a co-creative approach between humans and machines. The panel participants included Bruce Anderson (APM Music), Markus Schwarzer (Cyanite), Nick Venti (PlusMusic), Philippe Guillaud (MatchTune), and Einar M. Helde (AIMS API).
The panel raised pressing discussion points on the future of AI so we decided to publish our takeaways here. To watch the full video of the panel, scroll down to the middle of the article. Enjoy the read!
The PMC 2022 panel focused on the topic of co-creativity. Some AI can create on their own, but co-creativity represents creativity between the human and the machine.
So it is not the sum of individual creativity, rather it is the emergence of various new forms of interactions between humans and machines. To find out all the different ways AI music search can be co-creative, let’s dive into the main takeaways from the panel:
The way someone searches for music depends on their understanding of music which can widely differ and their role in the music industry. Music supervisors, for example, use a different language to search for music than film producers.
We talked about it in detail at Synchtank blog back in May 2022. AI can solve these issues, especially with the new developments in the field.
- Similarity Search has shown that we can use complex inputs to find music. Similarity search pulls a list of songs that match a reference track. It is projected to be the primary way of searching for music in the future.
- Free Searches – Search in full-text that allows searching for music in your own words based on natural language processing technologies. With a Free Search, you enter what comes to mind into a search bar and the AI suggests a song. This is a technology similar to DALL-E or Midjourney that returns an image based on text input.
- Music service that already knows what to do – in a further perspective, music services will emerge that recommend music depending on where you are in your role or personal development. These services will cater to all levels of search: from an amateur level that simply gives you a requested song to expert searches following an elaborate sync brief including images and videos that accompany the brief or even a stream of consciousness.
The nature of pop culture and the many factors that compile a hit from songwriting to production and elusive factors such as what is the song connected make it impossible to predict whether or not a song becomes a hit.
- Democratization and diversity of the field – more opportunities will become available for musicians and creators, including democratized access to sync opportunities and other ways to make a livelihood from music.
- Creativity and surprising experiences – right now AI is designed to do the same tasks at a rapid speed. We’re hoping AI will be able to perform tasks co-creatively and produce surprising experiences based on music but also other factors. As music has the ability to touch directly into people’s emotions, it has the potential to be a part of a greater narrative.
Video from the PMC 2022 panel: Using AI Music Search In A Co-Creative Approach Between Human and Machine
So when it comes to co-creativity from the side of enhancement of machine tagging with human tagging, personalization can be harmful to B2B. In B2B, AI mainly works with audio features without the involvement of user-generated data.
To sum up, AI can co-create with humans and solve the challenges facing the music industry today. There is a lot in store for AI’s future development and there is a lot of potential.
Still, AI is far away from replacing humans and should not replace them completely. Instead, it will improve in ways that will make music searches more intuitive and co-creative responding to human input in the form of a text search, image, or video.
As usual with AI, some people overestimate what it can do. Some tasks such as identifying music’s hit potential remain unthinkable for AI.
On the other hand, it’s not hard to envision the future where AI can help democratize access to opportunities for musicians and produce surprising projects where music will be a part of a shared emotional experience.
We hope you enjoyed this read and learned more about AI co-creativity and the future of AI music search. If you’re interested to learn more, you can also check out the article “The 4 Applications of AI in the Music Industry”. If you have any feedback, questions, or contributions, please reach out to email@example.com.
I want to integrate AI search into my library – how can I get started?
If you want to get the first grip on Cyanite’s technology, you can also register for our free web app to analyze music and try similarity searches without any coding needed.
More Cyanite content on AI and music
KEY TAKE-AWAYS FROM MUSEXPO 2023 IN LOS ANGELES – PART 1
Written by our CMO Jakob Höflich I just came back to Berlin after visiting this year's Musexpo on behalf of Cyanite after Covid...
SoundOut launches OnBrand in cooperation with Cyanite
We are proud to share the latest press release by UK-based company SoundOut which is the world leader in sonic testing for audio...
AI looks into the Sound of Iconic Fabric Club Compilations
One year ago, we analyzed the sound of 9 iconic German clubs and tried to uncover representative elements behind the musical curation...
The Scariest Movie Soundtrack for Halloween
In light of the scariest night of the year, we present the data story on movies for Halloween. We identify the dominant emotion in...
How BPM Supreme enriched their music services with AI-generated moods and search algorithms from Cyanite
BPM Supreme is a digital music service delivering a wide choice of music for professional DJs, producers, and artists through an...
Music Ally Startup Files with Cyanite
One and only Music Ally covered us in their latest StartupFiles. In an interview with two of Cyanite's co-founders, Markus and Jakob,...
Superhuman AI Powers: Using AI Music Search In A Co-Creative Approach Between Human and Machine
Assayag, Gérard. Human-Machine Co-Creativity. A Reflection on Symbolic Indisciplines. Cyber-Improvisations.
Phonofaune, Dialogiques d’Uzeste. 2021.
Wingström, Roosa . Hautala ,Johanna. Lundman, Riina. Redefining Creativity in the Era of AI? Perspectives of Computer Scientists and New Media Artists, Creativity Research Journal (2022).